Image reconstruction using different speckles and methods

Ghost imaging (GI) is an imaging method that uses photon correlation for image restoration. In this study, we design two different color speckle fields and use a digital light projector to display them onto a color object that is measured by a single-pixel photodetector. The first is uniformly distr...

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Bibliographic Details
Published in:Journal of optics (2010) 2020-07, Vol.22 (7)
Main Authors: Qiu, Panghe, Liu, Xin, Huo, Ying, Su, Bo, Ding, Jing, He, Jingsuo
Format: Article
Language:English
Subjects:
coherence imaging
computational imaging
ghost imaging
image reconstruction techniques
single-pixel photodetector
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Summary:Ghost imaging (GI) is an imaging method that uses photon correlation for image restoration. In this study, we design two different color speckle fields and use a digital light projector to display them onto a color object that is measured by a single-pixel photodetector. The first is uniformly distributed with red, green, and blue colors, while patterns are generated through linear mapping of a Hadamard matrix in the second. We evaluated three original image reconstruction schemes based on multi-color speckle (MS) pattern: traditional ghost imaging and pseudo-inverse ghost imaging based on uniform speckle field and single- pixel imaging (MS-HSI) based on Hadamard matrix linear mapping speckle field. Simulation and experimental results show that these methods can effectively restore color objects. We also compare the advantages and disadvantages of the three methods, and optimize the GI strategy of color objects. Among the three methods, the background noise of MS-HSI based on Hadamard matrix linear mapping is lower, more details are retained, and the signal-to-noise ratio is the highest.
ISSN:2040-8978
2040-8986
DOI:10.1088/2040-8986/ab941f